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<p><strong>Alan E. Gelfand</strong> -  <a href="http://isds.duke.edu/~alan">http://isds.duke.edu/~alan</a> </p>
<p>Duke University, Durham, USA</p>
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<strong>T&iacute;tulo:</strong>
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<p>Demographic Analysis of Forest Dynamics using Stochastic Integral Projection Models</p>

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<strong>Resumo:</strong>
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<p>Demographic analysis for plant and animal populations is a prominent problem in studying ecological processes, typically using Matrix Projection Models. Integral projection models (IPMs) offer a continuous version of this approach. These models are a class of integro-differential equations which, for demography, we specify a redistribution kernel mechanistically using demographic functions, i.e., parametric models for demographic processes such as survival, growth, and replenishment.</p>
<p>With interest in scaling in space, we work with data in the form of point patterns rather than with individual level data (hopeless to scale) yielding intensities (which are easy to scale). Fitting IPMs in our setting is quite challenging and is most feasibly done either working in the spectral domain or with a pseudo-likelihood, in conjunction with Laplace approximation. We illustrate with an investigation of forest dynamics using data from Duke Forest as well as a U.S. national survey called the Forest Inventory Analysis.</p>
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